fanglingwang

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

rL-GenSVM

Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine

flink-infotheoretic-feature-selection

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods for Apache Flink. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.

fast-mRMR

An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).

overall_survival_nsclc

bimodal DNN for NSCLC patient overall survival prediction

MA-HS

Source code for MA-HS

scikit-feature

open-source feature selection repository in python

SSD-LAHC

A feature selection algorithm based on Social Ski Driver Optimization and Late Acceptance Hill Climbing

ECOC-MDC

NSCLC-Research

MGRFE-GaRFE

Multilayer recursive feature elimination based on embedded genetic algorithm for cancer classification

survival-filter-benchmark

Source code for "Benchmark of filter methods for feature selection in high-dimensional gene expression survival data"

Infinite-Feature-Selection

Infinite Feature Selection: a Graph-based Feature Filtering Approach

filter-benchmark-paper

Source code for "Benchmark for filter methods for feature selection in high-dimensional classification data"

lscae

Deep unsupervised feature selection by discarding nuisance and correlated features

datamicroarray

A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.

Frequency-based-feature-selection-method-using-whale-algorithm

pymrmr

Python3 binding to mRMR Feature Selection algorithm (currently not maintained)

keras

Deep Learning for humans

FeatureSelect

FeatureSelect

KBS-RNE

Robust Neighborhood Embedding for Unsupervised Feature Selection, submitted to KBS, 2019

BioDiscML

Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data

Genedata

DiCFS

An Apache Spark package containing a distributed implementation of the popular CFS algorithm for feature selection.

ML_DL_microArrays

Here, we describe the comparison of the most used algorithms in classical ML and DL to classify carcinogenic tumors described on 11_tumor data base, obtaining accuracies between 76.97% and 100% for tumor identification. Our results bring up a more efficient an accurate classification method based on gene expression (microarray data) and ML/DL algorithms, which facilitates the prediction of the tumor type from a multiple cancer types scenario

microarray-data

Microarray datasets in CSV tarballs for MATLAB and Python

Microarray-data-classification-using-ensemble-of-gene-selection-

ECWSA

This repo contains the codes and supplementary documents for Embedded Chaotic Whale Survival Algorithm

projpred

Projection predictive variable selection

Concrete-Autoencoders